Systems pharmacology is a cross-product of various disciplines, including classical pharmacology, systems biology, physiology, biochemistry, applied mathematics, computer technology, and bioinformatics. Systems pharmacology covers a large number of experimental disciplines, including research techniques from cells, tissues to organs. Currently, systems pharmacology as an emerging discipline is becoming more and more promising, especially for its potential to improve decision-making in drug discovery. The human body is a complex biological system, and understanding the systematic relationship between human phenotypes and molecules is a fundamental problem faced by both modern and traditional medicine. The advent of systems pharmacology provided innovation and strategy for the complex relationship between drugs and the human body, and an alternative for natural drug discovery and translational medicine development.
At present, the techniques and methods of systems pharmacology are mainly focused on modeling and simulation, including the models for the design and evaluation of clinical trials, the simulations for explaining the mechanistic links between drugs and human physiology or disease, the application of physiologically-based pharmacokinetic (PBPK) models to predict target-dependent or independent toxicity in secondary tissues, the use of pharmacokinetics and pharmacodynamics (PK/PD) modeling, etc. However, the lack of recognized standard modeling tools is an important factor limiting model sharing among researchers, and the established thinking of existing methods is a shackle limiting the development of the discipline. Therefore, discovering new analytical techniques and methods, and exploring the recognized standard model may be an important breakthrough in systems pharmacology.
This Research Topic welcomes the submission of original research and review articles focusing on various topics related to new technologies and approaches in systems pharmacology research and expanding the scope of application and practice of the discipline. Potential topics include but are not limited to the following:
• New technologies and methods involved in modeling and simulation as applied to the design and evaluation of clinical trials
• New models and algorithms for Characterizing quantitatively and precisely the biochemistry of drug targets, the networks in which they are embedded, and the effects of small molecule and biological drugs
• Novel methods for modeling and simulation to support translational research, physiologically-based pharmacokinetic (PBPK)
• Developing new multi-scale computational models of pharmacological mechanisms that span the divide between cell-level biochemical models and organism-level PK/PD models
• Quantitative analysis of the dynamic interactions between drugs and a biological system that aims to understand the behavior of the system as a whole.
Please note that Original research based solely on in silico techniques will not be considered for review.
Systems pharmacology is a cross-product of various disciplines, including classical pharmacology, systems biology, physiology, biochemistry, applied mathematics, computer technology, and bioinformatics. Systems pharmacology covers a large number of experimental disciplines, including research techniques from cells, tissues to organs. Currently, systems pharmacology as an emerging discipline is becoming more and more promising, especially for its potential to improve decision-making in drug discovery. The human body is a complex biological system, and understanding the systematic relationship between human phenotypes and molecules is a fundamental problem faced by both modern and traditional medicine. The advent of systems pharmacology provided innovation and strategy for the complex relationship between drugs and the human body, and an alternative for natural drug discovery and translational medicine development.
At present, the techniques and methods of systems pharmacology are mainly focused on modeling and simulation, including the models for the design and evaluation of clinical trials, the simulations for explaining the mechanistic links between drugs and human physiology or disease, the application of physiologically-based pharmacokinetic (PBPK) models to predict target-dependent or independent toxicity in secondary tissues, the use of pharmacokinetics and pharmacodynamics (PK/PD) modeling, etc. However, the lack of recognized standard modeling tools is an important factor limiting model sharing among researchers, and the established thinking of existing methods is a shackle limiting the development of the discipline. Therefore, discovering new analytical techniques and methods, and exploring the recognized standard model may be an important breakthrough in systems pharmacology.
This Research Topic welcomes the submission of original research and review articles focusing on various topics related to new technologies and approaches in systems pharmacology research and expanding the scope of application and practice of the discipline. Potential topics include but are not limited to the following:
• New technologies and methods involved in modeling and simulation as applied to the design and evaluation of clinical trials
• New models and algorithms for Characterizing quantitatively and precisely the biochemistry of drug targets, the networks in which they are embedded, and the effects of small molecule and biological drugs
• Novel methods for modeling and simulation to support translational research, physiologically-based pharmacokinetic (PBPK)
• Developing new multi-scale computational models of pharmacological mechanisms that span the divide between cell-level biochemical models and organism-level PK/PD models
• Quantitative analysis of the dynamic interactions between drugs and a biological system that aims to understand the behavior of the system as a whole.
Please note that Original research based solely on in silico techniques will not be considered for review.
